Stephanie Tuminello | Genetic Epidemiology | Innovative Research Award

Published on by Global Genetics Award

 

Innovative Research Award

Stephanie Tuminello
Icahn School of Medicine at Mount Sinai

Stephanie Tuminello
Affiliation Icahn School of Medicine at Mount Sinai
Country United States
Scopus ID 57193871243
Documents 60
Citations 1,069
h-index 15
Subject Area Genetic Epidemiology
Event Global Genetics Awards

Stephanie Tuminello is affiliated with the Icahn School of Medicine at Mount Sinai, where her scholarly work contributes to the advancement of genetic epidemiology and related biomedical research. Her publication record, citation performance, and sustained research activity demonstrate continued engagement in understanding genetic determinants of disease, epidemiological methodologies, and translational biomedical science. Bibliometric indicators from Scopus show a substantial scholarly contribution supported by peer-reviewed publications and academic citations, reflecting the influence of her research within the international scientific community.[1]

Abstract

Stephanie Tuminello’s research portfolio focuses on genetic epidemiology through the integration of population-based investigation, molecular genetics, and clinical data analysis. Her scientific work contributes to understanding disease susceptibility, inherited genetic variation, and risk prediction using evidence-based epidemiological methodologies. The body of published literature demonstrates interdisciplinary collaboration and continued scientific productivity across multiple areas of biomedical research.[1]

Keywords

Genetic Epidemiology; Population Genetics; Human Genetics; Disease Susceptibility; Precision Medicine; Genomic Medicine; Epidemiological Research; Translational Medicine.

Introduction

Genetic epidemiology combines principles from genetics, epidemiology, and biostatistics to evaluate inherited and environmental influences on disease occurrence. Researchers working within this discipline investigate genetic risk factors, gene-environment interactions, and population-level disease patterns to improve healthcare outcomes. Stephanie Tuminello’s scholarly activities align with these objectives through peer-reviewed research that contributes to the broader understanding of genetic determinants of human health.[2]

Research Profile

According to publicly available bibliometric information, Stephanie Tuminello has authored 60 indexed publications that have collectively received more than one thousand citations, resulting in an h-index of 15. These indicators suggest sustained scholarly productivity and measurable research influence within biomedical sciences and genetic epidemiology.[1]

  • Affiliation: Icahn School of Medicine at Mount Sinai
  • Primary discipline: Genetic Epidemiology
  • Scopus-indexed publications: 60
  • Scopus citations: 1,069
  • Scopus h-index: 15

Research Contributions

The available publication record indicates contributions involving genetic risk assessment, epidemiological analysis, disease association studies, clinical research methodologies, and collaborative biomedical investigations. Such work supports improved understanding of disease mechanisms and facilitates evidence generation for future precision medicine initiatives.[1][3]

  • Population-based genetic investigations.
  • Clinical and translational epidemiological research.
  • Genetic susceptibility and disease association studies.
  • Interdisciplinary collaboration across biomedical sciences.

Publications

The author’s publication portfolio consists of peer-reviewed journal articles indexed by major scholarly databases. These publications collectively address topics within genetics, epidemiology, biomedical science, and translational research, demonstrating continued scientific productivity over multiple years.[1]

  • Research articles indexed in Scopus.
  • Collaborative multidisciplinary publications.
  • Biomedical and genetic epidemiology studies.

Research Impact

Bibliometric evidence indicates measurable academic influence through citations, publication output, and scholarly visibility. Citation metrics suggest that the published work has contributed to ongoing scientific discussions and has been referenced by researchers working in related biomedical disciplines. Such indicators are commonly employed in evaluating scientific productivity and research influence.[1]

Award Suitability

Stephanie Tuminello demonstrates characteristics generally considered during evaluation for an Innovative Research Award, including sustained publication activity, measurable citation impact, interdisciplinary collaboration, and contributions to genetic epidemiology. Recognition within an academic awards program would appropriately acknowledge continued scientific engagement while reflecting objective scholarly indicators rather than subjective assessments of scientific merit alone.[1]

Conclusion

Stephanie Tuminello has established an active academic profile through contributions to genetic epidemiology, peer-reviewed publications, and collaborative biomedical research. Publicly available bibliometric indicators demonstrate sustained scholarly productivity and research visibility, supporting recognition within academic and professional award programs dedicated to scientific excellence and innovation.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Stephanie Tuminello, Author ID 57193871243.
    Scopus.https://www.scopus.com/authid/detail.uri?authorId=57193871243
  2. Disparities in COVID-19 testing and positivity in New York City
    https://www.sciencedirect.com/science/article/pii/S0749379720302634
  3. Lkb1 inactivation drives lung cancer lineage switching governed by Polycomb Repressive Complex 2
    https://www.nature.com/articles/ncomms14922
  4. Male sex, severe obesity, older age, and chronic kidney disease are associated with COVID-19 severity and mortality in New York City
    https://journal.chestnet.org/article/S0012-3692(20)34288-4/fulltext
  5. The impact of asthma on mortality in patients with COVID-19
    https://journal.chestnet.org/article/S0012-3692(20)31645-7/fulltext

 

 Andrea Manica | Population genetics software | Innovative Research Award

Published on by Global Genetics Award

Innovative Research Award

Andrea Manica
Affiliation University of Cambridge
Country United Kingdom
Scopus ID 6603416293
Documents 187
Citations 17,182
h-index 67
Subject Area Population genetics software
Event Global Genetics Awards
ORCID 0000-0003-1895-450X

 Andrea Manica

University of Cambridge, United Kingdom

The Innovative Research Award recognizes sustained scholarly excellence and significant contributions to scientific advancement. Andrea Manica, a researcher at the University of Cambridge, has established an internationally recognized research profile in evolutionary biology, population genetics, human migration, ecological modelling, and computational approaches to biodiversity research. His scholarly publications, extensive citation record, and interdisciplinary collaborations demonstrate continued influence across genetics and evolutionary sciences.[1]

Abstract

Andrea Manica’s research integrates population genetics, ecology, anthropology, computational biology, and evolutionary theory to investigate biological diversity and human evolutionary history. His work combines large-scale genomic datasets, ecological modelling, and statistical methods to improve understanding of species distributions, migration processes, adaptation, and conservation. His scholarly achievements have resulted in a substantial international research profile with extensive citations and broad interdisciplinary impact.[1][2]

Keywords

Population genetics, evolutionary biology, ecological modelling, biodiversity, human migration, computational biology, conservation genetics, statistical ecology, genomics, species distribution modelling.

Introduction

Modern genetics increasingly relies upon interdisciplinary analytical approaches capable of integrating molecular, ecological, and computational evidence. Andrea Manica’s research exemplifies this trend by combining quantitative analysis with evolutionary theory to address questions concerning biodiversity, adaptation, and demographic history. His work has contributed to both methodological development and biological discovery while supporting evidence-based conservation research.[2]

Research Profile

Andrea Manica is affiliated with the University of Cambridge and maintains an internationally visible publication record indexed in Scopus. His documented scholarly metrics include 187 indexed publications, over 17,000 citations, and an h-index of 67, reflecting consistent scientific influence across multiple research disciplines.[1]

  • Population genetics and demographic inference.
  • Human evolutionary history.
  • Ecological and environmental modelling.
  • Biodiversity and conservation science.
  • Statistical and computational biology.

Research Contributions

His investigations have improved scientific understanding of how evolutionary processes, environmental factors, and migration shape genetic diversity. By integrating computational simulations with empirical observations, his studies have informed research concerning adaptation, population structure, climate influences, and conservation planning.[2][3]

  • Development of computational approaches for population genetics.
  • Analysis of human migration and demographic history.
  • Research supporting biodiversity conservation.
  • Integration of ecological and genomic datasets.
  • Interdisciplinary collaboration across genetics and ecology.

Publications

Andrea Manica has authored numerous peer-reviewed publications appearing in internationally recognized scientific journals. His research articles are frequently cited within genetics, ecology, anthropology, conservation biology, and evolutionary science, reflecting sustained scholarly relevance.[1]

  • Population genetic analyses.
  • Evolutionary modelling studies.
  • Human demographic history research.
  • Biodiversity conservation publications.

Research Impact

The documented citation metrics indicate extensive international recognition of Andrea Manica’s scholarly work. His publications continue to support research across genetics, ecology, anthropology, and environmental sciences while influencing computational methodologies and conservation strategies. The breadth of citations reflects continued relevance across diverse scientific communities.[1]

Award Suitability

Based on publicly available scholarly indicators, Andrea Manica demonstrates characteristics consistent with recognition through an Innovative Research Award. These include a sustained publication record, internationally recognized citation impact, interdisciplinary scientific contributions, methodological innovation, and continued advancement of population genetics and evolutionary biology research. Such accomplishments align with common evaluation criteria used in academic recognition programs.[1]

Conclusion

Andrea Manica’s scholarly career reflects substantial contributions to population genetics, computational biology, biodiversity research, and evolutionary science. Through interdisciplinary collaboration and quantitative innovation, his work has strengthened scientific understanding of biological diversity and evolutionary processes. His documented academic achievements support recognition within international research award programs dedicated to scientific excellence and innovation.[2]

References

    1. Elsevier. (n.d.). Scopus author details: Andrea Manica, Author ID 6603416293. Scopus.https://www.scopus.com/authid/detail.uri?authorId=6603416293
    2. ORCID. (n.d.). Andrea Manica
      ORCID Profile.      https://orcid.org/0000-0003-1895-450X
    3. Manica, A., et al. Representative research publication. Nature.
      DOI:
      https://doi.org/10.1038/nature06258
    4. Elsevier. (n.d.). Google scholar details: Andrea Manica.
      Google scholar. https://scholar.google.com/citations?user=v8V058QAAAAJ&hl=en
    5. An African origin for the intimate association between humans and Helicobacter pylori
       https://www.nature.com/articles/nature05562